- 谁
- Ethan Mollick
- 引文
The counterexample to AI diffusion taking a long time is coding, where the complete transformation of a profession is well underway less than a year after real working coding agents.
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查看这件事的完整进展Ethan Mollick Says AI Agents Are Transforming Coding Faster Than Expected正文 · 中文版本尚未就绪（原文）
The counterexample to AI diffusion taking a long time is coding, where the complete transformation of a profession is well underway less than a year after real working coding agents. Faster than I would’ve expected given historical technological adoption rates in professions.
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Ethan Mollick says AI coding agents are transforming the coding profession faster than historical adoption rates would suggest, with that shift already well underway less than a year after working agents emerged. He points to coding as a counterexample to the idea that AI adoption across professions takes a long time, and says the pace has exceeded his expectations.